Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds

Stud Health Technol Inform. 2020 Jun 16:270:607-612. doi: 10.3233/SHTI200232.

Abstract

The access to data in healthcare is an enabler for the implementation of clinical decision support systems (CDSS) in practice. The usage of CDSS aims to be of efficient assistance to healthcare providers. The aim of the BMBF project "PosiThera", is to support the involved professions in the treatment process of chronic wounds. In this study we implemented the formalized knowledge of chronic wound diagnosis into two different knowledge base approaches, the HL7 Arden Syntax and a Petri net approach. The motivating factor behind our study was to use both approaches for the implementation of the projects knowledge base and to compare the results. We implemented the formalized knowledge successfully in both approaches. The results of our comparison showed similarities and differences of the Arden Syntax and the Petri net approach, which might support the evolution of both approaches in the future.

Keywords: Arden Syntax; Chronic Wound; Clinical Decision Support; Petri net.

MeSH terms

  • Chronic Disease
  • Decision Support Systems, Clinical*
  • Humans
  • Knowledge Bases
  • Programming Languages